SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2401–2410 of 2605 papers

TitleStatusHype
Robust Lane Detection from Continuous Driving Scenes Using Deep Neural NetworksCode0
Learning a Lattice Planner Control Set for Autonomous VehiclesCode0
Leveraging Shape Completion for 3D Siamese TrackingCode0
Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving—0
Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network—0
Online Predictive Optimization Framework for Stochastic Demand-Responsive Transit Services—0
A Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving—0
Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse WeatherCode0
DeepFault: Fault Localization for Deep Neural Networks—0
Sparse and noisy LiDAR completion with RGB guidance anduncertaintyCode0
Show:102550
← PrevPage 241 of 261Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified